Data scientist Perpignan : Trouvez vite les meilleurs freelances disponibles

Exemple de missions de Laura,
Data Scientist freelance

• Data Scientist/Data Engineer

  – Openvalue (Paris)
  2019 - 2023

  • Mission at Sodexo (9 months) - Data Engineer
  o Code refactoring on existing projects (Meal plan in university (US) , pricing in company canteen (FR/UK/US))
  o Preprocessing and creation of data pipeline to run on Azure ML
  o Use of agile methodology, understanding of the business needs
  o Stack: python, visual studio, Azure DevOps (CI/CD), Azure ML
  • Mission at Docaposte (6 months) - Data Scientist / Data Engineer
  o Detection of speeding car based on lane indication from speed camera’s photo – Computer vision
  o Invoice requirements check – Ma PrimeRénov’
  o Stack: python, opencv, torch, tesseract, detectron, docker
  • Mission at Autodistribution – Customer Churn (3 months) - Data Scientist
  o Prediction of customer churn based on transactional data
  o Stack: spark, python, Databricks (Notebooks), azure
  • Mission at Société Générale – transfer fraud detection (2.5 years) - Data Scientist
  o Production of fraud detection models (phishing, social engineering…) in streaming and batch on retail and enterprise clients
  o Behavioral analysis of fraudsters (country analysis, IP address, hour of transfer…)
  o Monitoring, improvement and management of models in production
  o Data quality check following micro-service architecture
  o Communication with various stakeholders to adopt machine learning models over legacy tools
  o Stack: spark, python, scala, hue, hdfs, hbase, h2o, hive (SQL-like), Jupyter Notebook
  • Mission at Colas – Price optimization on industrial transport of rubble (2 months) - Data Scientist
  o Clustering on delivery type (delivery segmentation)
  o Transport price prediction
  o Stack: spark, python, Databricks (Notebooks), azure

• Data Analyst/Project Manager

  – BNP Paribas (Paris)
  2018 - 2019

  • Use cases identification and creation in support for the Inspection Générale (periodical control)
  • Understanding business needs and project framing
  • Data visualisation and dashboard (Tableau)
  • Automatization and evangelization of use cases (Python, Dataiku)
  • Stack: python, Dataiku, Tableau

• Data Scientist Cybersecurity –

  DataDome (Paris)
  2017 - 2018

  • Classification on website view as human or bot
  • User behavior and pattern analysis through fingerprints
  • Preprocessing, data cleaning and pipeline building
  • Benchmark on supervised and unsupervised models
  • Stack: python, elasticsearch, Kibana, Jupyter Notebook

• IT Auditor - EY (Paris)

  - Société Générale CIB (Hong Kong)
  2014 - 2016

  • IT process and IT architecture understanding
  • Stakeholder and project management
  • Diagnostic, investigation and writing of audit report
  • IT control on applications from banking information system and statutory Audit